Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Huanting, Lenihan, Patrick, Wang, Zheng |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CodeFort: Robust Training for Code Generation Models
by: Zhang, Yuhao, et al.
Published: (2024)
by: Zhang, Yuhao, et al.
Published: (2024)
Reasoning as a Resource: Optimizing Fast and Slow Thinking in Code Generation Models
by: Li, Zongjie, et al.
Published: (2025)
by: Li, Zongjie, et al.
Published: (2025)
ReDef: Do Code Language Models Truly Understand Code Changes for Just-in-Time Software Defect Prediction?
by: Nam, Doha, et al.
Published: (2025)
by: Nam, Doha, et al.
Published: (2025)
Leveraging Metamemory Mechanisms for Enhanced Data-Free Code Generation in LLMs
by: Wang, Shuai, et al.
Published: (2025)
by: Wang, Shuai, et al.
Published: (2025)
Selection of Prompt Engineering Techniques for Code Generation through Predicting Code Complexity
by: Wang, Chung-Yu, et al.
Published: (2024)
by: Wang, Chung-Yu, et al.
Published: (2024)
CoRe: Benchmarking LLMs Code Reasoning Capabilities through Static Analysis Tasks
by: Xie, Danning, et al.
Published: (2025)
by: Xie, Danning, et al.
Published: (2025)
Predicting the Understandability of Computational Notebooks through Code Metrics Analysis
by: Ghahfarokhi, Mojtaba Mostafavi, et al.
Published: (2024)
by: Ghahfarokhi, Mojtaba Mostafavi, et al.
Published: (2024)
WhatsCode: Large-Scale GenAI Deployment for Developer Efficiency at WhatsApp
by: Mao, Ke, et al.
Published: (2025)
by: Mao, Ke, et al.
Published: (2025)
Deploy-Master: Automating the Deployment of 50,000+ Agent-Ready Scientific Tools in One Day
by: Wang, Yi, et al.
Published: (2026)
by: Wang, Yi, et al.
Published: (2026)
Enhancing High-Quality Code Generation in Large Language Models with Comparative Prefix-Tuning
by: Jiang, Yuan, et al.
Published: (2025)
by: Jiang, Yuan, et al.
Published: (2025)
LLM4EFFI: Leveraging Large Language Models to Enhance Code Efficiency and Correctness
by: Ye, Tong, et al.
Published: (2025)
by: Ye, Tong, et al.
Published: (2025)
CodeFlowLM: Incremental Just-In-Time Defect Prediction with Pretrained Language Models and Exploratory Insights into Defect Localization
by: Monteiro, Monique Louise, et al.
Published: (2025)
by: Monteiro, Monique Louise, et al.
Published: (2025)
Tuning LLM-based Code Optimization via Meta-Prompting: An Industrial Perspective
by: Gong, Jingzhi, et al.
Published: (2025)
by: Gong, Jingzhi, et al.
Published: (2025)
Understanding and Bridging the Planner-Coder Gap: A Systematic Study on the Robustness of Multi-Agent Systems for Code Generation
by: Lyu, Zongyi, et al.
Published: (2025)
by: Lyu, Zongyi, et al.
Published: (2025)
Bug Analysis Towards Bug Resolution Time Prediction
by: Ozkan, Hasan Yagiz, et al.
Published: (2024)
by: Ozkan, Hasan Yagiz, et al.
Published: (2024)
Comparative Analysis of Large Language Models for Context-Aware Code Completion using SAFIM Framework
by: Zhang, Hang, et al.
Published: (2025)
by: Zhang, Hang, et al.
Published: (2025)
Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements
by: Abtahi, Seyed Moein, et al.
Published: (2025)
by: Abtahi, Seyed Moein, et al.
Published: (2025)
Are Large Language Models Robust in Understanding Code Against Semantics-Preserving Mutations?
by: Orvalho, Pedro, et al.
Published: (2025)
by: Orvalho, Pedro, et al.
Published: (2025)
Data Dependency-Aware Code Generation from Enhanced UML Sequence Diagrams
by: Mao, Wenxin, et al.
Published: (2025)
by: Mao, Wenxin, et al.
Published: (2025)
Beyond Functional Correctness: Investigating Coding Style Inconsistencies in Large Language Models
by: Wang, Yanlin, et al.
Published: (2024)
by: Wang, Yanlin, et al.
Published: (2024)
Effective Code Membership Inference for Code Completion Models via Adversarial Prompts
by: Jiang, Yuan, et al.
Published: (2025)
by: Jiang, Yuan, et al.
Published: (2025)
PerfCoder: Large Language Models for Interpretable Code Performance Optimization
by: Yang, Jiuding, et al.
Published: (2025)
by: Yang, Jiuding, et al.
Published: (2025)
Enhancing LLM-Based Code Generation with Complexity Metrics: A Feedback-Driven Approach
by: Sepidband, Melika, et al.
Published: (2025)
by: Sepidband, Melika, et al.
Published: (2025)
MemGovern: Enhancing Code Agents through Learning from Governed Human Experiences
by: Wang, Qihao, et al.
Published: (2026)
by: Wang, Qihao, et al.
Published: (2026)
Robustness and Reasoning Fidelity of Large Language Models in Long-Context Code Question Answering
by: Maharaj, Kishan, et al.
Published: (2026)
by: Maharaj, Kishan, et al.
Published: (2026)
Persistent Cross-Attempt State Optimization for Repository-Level Code Generation
by: Pan, Ruwei, et al.
Published: (2026)
by: Pan, Ruwei, et al.
Published: (2026)
CAM: A Causality-based Analysis Framework for Multi-Agent Code Generation Systems
by: Lyu, Zongyi, et al.
Published: (2026)
by: Lyu, Zongyi, et al.
Published: (2026)
COAST: Enhancing the Code Debugging Ability of LLMs through Communicative Agent Based Data Synthesis
by: Yang, Weiqing, et al.
Published: (2024)
by: Yang, Weiqing, et al.
Published: (2024)
SELF-REDRAFT: Eliciting Intrinsic Exploration-Exploitation Balance in Test-Time Scaling for Code Generation
by: Chen, Yixiang, et al.
Published: (2025)
by: Chen, Yixiang, et al.
Published: (2025)
CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation
by: Xiong, Zhanhang, et al.
Published: (2025)
by: Xiong, Zhanhang, et al.
Published: (2025)
Identifying Performance-Sensitive Configurations in Software Systems through Code Analysis with LLM Agents
by: Wang, Zehao, et al.
Published: (2024)
by: Wang, Zehao, et al.
Published: (2024)
AutoCoder: Enhancing Code Large Language Model with \textsc{AIEV-Instruct}
by: Lei, Bin, et al.
Published: (2024)
by: Lei, Bin, et al.
Published: (2024)
API-guided Dataset Synthesis to Finetune Large Code Models
by: Li, Zongjie, et al.
Published: (2024)
by: Li, Zongjie, et al.
Published: (2024)
A Comparative Analysis of Large Language Models for Code Documentation Generation
by: Dvivedi, Shubhang Shekhar, et al.
Published: (2023)
by: Dvivedi, Shubhang Shekhar, et al.
Published: (2023)
Generating High-Quality Datasets for Code Editing via Open-Source Language Models
by: Zhang, Zekai, et al.
Published: (2025)
by: Zhang, Zekai, et al.
Published: (2025)
Multimodal Approach for Harmonized System Code Prediction
by: Amel, Otmane, et al.
Published: (2024)
by: Amel, Otmane, et al.
Published: (2024)
AgentTrace: Causal Graph Tracing for Root Cause Analysis in Deployed Multi-Agent Systems
by: Wang, Zhaohui Geoffrey
Published: (2026)
by: Wang, Zhaohui Geoffrey
Published: (2026)
TransAgent: Enhancing LLM-Based Code Translation via Fine-Grained Execution Alignment
by: Yuan, Zhiqiang, et al.
Published: (2024)
by: Yuan, Zhiqiang, et al.
Published: (2024)
Do Code Semantics Help? A Comprehensive Study on Execution Trace-Based Information for Code Large Language Models
by: Wang, Jian, et al.
Published: (2025)
by: Wang, Jian, et al.
Published: (2025)
INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair
by: Wang, Hanbin, et al.
Published: (2023)
by: Wang, Hanbin, et al.
Published: (2023)
Similar Items
-
CodeFort: Robust Training for Code Generation Models
by: Zhang, Yuhao, et al.
Published: (2024) -
Reasoning as a Resource: Optimizing Fast and Slow Thinking in Code Generation Models
by: Li, Zongjie, et al.
Published: (2025) -
ReDef: Do Code Language Models Truly Understand Code Changes for Just-in-Time Software Defect Prediction?
by: Nam, Doha, et al.
Published: (2025) -
Leveraging Metamemory Mechanisms for Enhanced Data-Free Code Generation in LLMs
by: Wang, Shuai, et al.
Published: (2025) -
Selection of Prompt Engineering Techniques for Code Generation through Predicting Code Complexity
by: Wang, Chung-Yu, et al.
Published: (2024)